AI Engineer / Generative AI Engineer
Technumen, Inc.
Alpharetta, GA, United States
13 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Amazon Web Services
Software Applications
Microsoft Azure
Cloud Computing
Continuous Integration
Programming Tools
Python (Programming Language)
Software Engineering
Systems Integration
TypeScript
+16 more
Google Cloud
Enterprise Software Applications
ReactJS
Large Language Models
Grafana
Multi-Agent Systems
Prompt Engineering
Generative AI
Backend
Git
Fastapi
Kubernetes
Restful APIs
Terraform
Docker
Microservices
Job description
We are looking for a talented Senior AI Engineer to design, build, and deploy AI-powered applications and developer tooling. The ideal candidate has hands-on experience with Generative AI, LLMs, AI agents, and modern software engineering. This role involves building production-ready AI solutions, rapidly prototyping new ideas, and collaborating with engineering and product teams. Responsibilities:
- Design and develop AI-powered applications using Large Language Models (LLMs)
- Build AI agents, copilots, and workflow automation solutions
- Integrate Claude, OpenAI, or other foundation models into enterprise applications
- Develop scalable backend services using Python and TypeScript
- Build APIs and AI microservices
- Implement Retrieval-Augmented Generation (RAG) solutions
- Create prompt engineering strategies and evaluation pipelines
- Build developer productivity tools using AI
- Work with CI/CD pipelines and cloud deployment
- Collaborate with product managers and engineering teams to deliver AI-enabled features
- Optimize AI applications for performance, security, and scalability
Requirements
- 7+ years of software engineering experience
- Strong experience with Python and TypeScript
- Experience integrating Claude, OpenAI, Gemini, or other LLM APIs
- Hands-on experience building AI-powered applications
- Experience with Prompt Engineering
- Knowledge of AI agents and agent orchestration frameworks
- REST API and microservices development
- Git, Docker, CI/CD
- Cloud experience (AWS, Azure, or Google Cloud Platform)
Preferred Skills:
- LangChain
- LangGraph
- LlamaIndex
- MCP (Model Context Protocol)
- Vector Databases (Pinecone, Weaviate, Chroma, Milvus, pgvector)
- RAG architecture
- FastAPI
- React
- Kubernetes
- Terraform
- AI evaluation frameworks
- Observability tools
- Knowledge of secure AI development and AI guardrails
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